Technical Manager - Master Data and Enterprise Datawarehouse program
Job Description
- Master’s degree preferred
- GCP Preferred
- Lead design and architecture of enterprise Master Data Management and data warehouse solutions.
- Develop and execute data warehousing strategies aligned with business objectives.
- Provide technical leadership and mentoring to the team.
- Oversee development and optimization of ETL processes.
- Ensure efficient data extraction and accurate data transformation.
- Manage data quality, security, and governance standards.
- Collaborate with stakeholders to translate requirements into technical specifications.
- Plan, schedule, and execute data warehousing projects, ensuring timely delivery.
- Manage budgets, resources, and risk mitigation for projects.
- Supervise and manage a team of data engineers, Business analysts, and QA.
- Stay updated on latest trends and technologies in data warehousing and Cloud.
- Evaluate and implement new tools and methodologies to improve data warehousing.
- Optimize data storage and retrieval for performance and scalability.
- Monitor and maintain health of data warehouse systems, ensuring high availability.
- Troubleshoot and resolve technical issues.
- Create documentation for processes, systems, and policies.
Description
Job Summary:
We are seeking a skilled and experienced Technical Manager to lead the design, implementation, and maintenance of Master Data Management and Enterprise data warehousing solutions. The ideal candidate will manage technical teams, oversee data integration projects, and ensure the delivery of high-performance, scalable, and reliable data warehousing solutions.
Key Responsibilities:
1. Strategic Planning and Leadership: Lead the design and architecture of enterprise-level Master data management and data warehouse solutions. Develop and execute data warehousing strategies that align with business objectives.Provide technical leadership and mentoring to the team.
2. Master Data, Data Integration and ETL Management: Oversee the development and optimization of ETL (Extract, Transform, Load) processes. Ensure efficient data extraction from multiple sources and accurate data transformation. Manage data quality, security, and governance standards.
3. Project Management: Collaborate with stakeholders to gather business requirements and translate them into technical specifications. Plan, schedule, and execute data warehousing projects, ensuring timely delivery. Manage budgets, resources, and risk mitigation strategies for projects.
4. Team Management: Supervise and manage a team of data engineers, Business analysts and QA.
5. Technology and Innovation: Stay updated on the latest trends and technologies in data warehousing and Cloud.
Evaluate and implement new tools and methodologies to improve data warehousing processes. Optimize data storage and retrieval for performance and scalability.
6. Operational Management: Monitor and maintain the health of data warehouse systems, ensuring high availability. Troubleshoot and resolve technical issues. Create documentation for processes, systems, and policies.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s preferred).
- 12+ years of experience in data warehousing and MDM, with 5+ years in a managerial or leadership role.
- Proficiency in master data, data warehousing and ETL concepts
- Strong knowledge of Data modeling
- Strong Knowledge of cloud-based data platforms (GCP Preferred).
- Proven experience with agile methodologies and project management frameworks.
- Excellent communication, problem-solving, and team management skills.
- Remote/ Travel to client place for any meeting/ workshops.
